Recommendation Setup & Feeds
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Setting the Product/Content Feed for Your Recommendations
Product/Content Catalog Setup **We are using product data in this example for convenience only; the content feed has the same functionality and structure. Setting up your product catalog will allow:…
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Setting Filters On Recommendations
Filter the pool of products or content that recommendation algorithms draw from — by category, price range, stock status, brand, or any custom attribute — for sharper, more relevant recommendations.
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Setting Recommendation Fallbacks
Configure fallback algorithms on Personyze recommendations so visitors with no behavioral data — new subscribers, anonymous traffic — never see empty or random recommendations.
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Recommendation Data
Personyze recommendations are not only powerful in what they can output to users to increase engagement and revenue, but also in the data you can derive from them, to learn…
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JSON Recommendations for Personalization
While you don't need to do any coding to implement Personyze recommendations across your site and emails, some clients may wish to use their own display method from their CMS,…
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Setting Tracking for Product Interaction Events (View / Add to Cart / Purchase)
Personyze Interaction Event Tracking For Personyze to generate meaningful recommendations, it has to know whenever visitors interact with a product/article/video, and what type of interaction they're having. To accomplish this,…
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Interests for Recommendations
Interests apply to all types of websites, ranging from e-commerce and content curation platforms to news sites and educational portals.